New AI postings mentioning Vector Databases per week — 223 total over 13 weeks.
372 active AI roles across 67 companies mention Vector Databases. Category: Retrieval & Search.
Vector Databases is a skill in the "Retrieval & Search" category. It currently appears in 372 active AI roles across 67 companies in our index.
The top employers with active AI roles mentioning Vector Databases are: Capital One (116), Google (22), Apple (19), ByteDance (18), Amazon (14).
Over the last 13 weeks, 223 new AI postings mentioned Vector Databases. Demand is rising — up 354% in the last four weeks compared to the earliest four weeks in the window.
Roles requiring Vector Databases are concentrated in: agents (60%), serving infrastructure (24%), post-training (6%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
Job postings that mention Vector Databases most often also require: Large Language Models (LLMs), Python, Production ML Systems, Agentic Systems, Machine Learning.
9 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| Cognite | Applied AI Engineer | Industrial | 8 | L4 |
| Cognite | Senior Machine Learning Engineer | Industrial | 8 | L4 |
| Cognite | Applied AI Engineer (Fullstack), AI Co-Innovation | Industrial | 8 | L4 |
| Cognite | Senior AI Platform Engineer, Atlas AI | Industrial | 8 | L4 |
| Cognite | Machine Learning Engineer | Industrial | 7 | L3 |
| Honeywell | Sr Analytics Professional | Industrial | 7 | L4 |
| Honeywell | Lead Data Engineer | Industrial | 7 | L0 |
| Honeywell | Software Engr II | Industrial | 7 | L4 |
| Honeywell | Advanced Data Scientist | Industrial | 7 | L4 |